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Robust Fitting of an Additive Model for Variance Heterogeneity

Robert A. Rigby, Mikis D. Stasinopoulos

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Abstract

Here we consider robust fitting of an Additive model for the variance heterogeneity in a Normal error model. Harvey (1978) and Aitkin (1987) have modelled the variance function explicitly using parametric linear models for both the mean and the variance. The use of a non-parametric function of a single explanatory variable for the variance model was introduced by Silverman (1985) and Muller and Stadtmuller (1987).

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What this paper is about

Here we consider robust fitting of an Additive model for the variance heterogeneity in a Normal error model. Harvey (1978) and Aitkin (1987) have modelled the variance function explicitly using parametric linear models for both the mean and the variance. The use of a non-parametric function of a single explanatory variable for the variance model was introduced by Silverman (1985) and Muller and Stadtmuller (1987).

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Available abstract

Here we consider robust fitting of an Additive model for the variance heterogeneity in a Normal error model. Harvey (1978) and Aitkin (1987) have modelled the variance function explicitly using parametric linear models for both the mean and the variance. The use of a non-parametric function of a single explanatory variable for the variance model was introduced by Silverman (1985) and Muller and Stadtmuller (1987).

Key concepts: Variance-based sensitivity analysis, Variance (accounting), Variance function, Mathematics, Econometrics, Statistics, Parametric statistics, Parametric model

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